Anikó Nyéki

418 total citations
25 papers, 255 citations indexed

About

Anikó Nyéki is a scholar working on Plant Science, Ecology and Environmental Engineering. According to data from OpenAlex, Anikó Nyéki has authored 25 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 8 papers in Ecology and 7 papers in Environmental Engineering. Recurrent topics in Anikó Nyéki's work include Smart Agriculture and AI (12 papers), Remote Sensing in Agriculture (7 papers) and Crop Yield and Soil Fertility (6 papers). Anikó Nyéki is often cited by papers focused on Smart Agriculture and AI (12 papers), Remote Sensing in Agriculture (7 papers) and Crop Yield and Soil Fertility (6 papers). Anikó Nyéki collaborates with scholars based in Hungary, United States and Belgium. Anikó Nyéki's co-authors include Miklós Neményi, Attila Kovács, Gábor Milics, Bálint Daróczy, Csaba Kerepesi, Endre Harsányi, András A. Benczúr, János Nagy, János Nagy and Judit Oláh and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Research and Public Health and Applied Sciences.

In The Last Decade

Anikó Nyéki

20 papers receiving 249 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anikó Nyéki Hungary 7 129 51 39 39 32 25 255
Luiz Henrique Antunes Rodrigues Brazil 11 212 1.6× 70 1.4× 56 1.4× 52 1.3× 24 0.8× 38 408
S. Rathika India 8 126 1.0× 78 1.5× 41 1.1× 38 1.0× 41 1.3× 71 322
Adão Felipe dos Santos Brazil 11 243 1.9× 96 1.9× 41 1.1× 49 1.3× 25 0.8× 55 337
K P Ragunath India 8 227 1.8× 63 1.2× 46 1.2× 24 0.6× 15 0.5× 48 451
Walter Maldonado Brazil 9 230 1.8× 58 1.1× 36 0.9× 46 1.2× 21 0.7× 23 334
Patrícia Angélica Alves Marques Brazil 11 215 1.7× 23 0.5× 18 0.5× 118 3.0× 20 0.6× 70 344
Xin Qiao United States 11 156 1.2× 54 1.1× 78 2.0× 92 2.4× 21 0.7× 30 298
Anh Tuan Le South Korea 4 228 1.8× 57 1.1× 25 0.6× 12 0.3× 10 0.3× 17 376
Vivekananda M. Byrareddy Australia 9 169 1.3× 69 1.4× 25 0.6× 51 1.3× 22 0.7× 17 535
D Muthumanickam India 4 208 1.6× 48 0.9× 35 0.9× 16 0.4× 9 0.3× 33 414

Countries citing papers authored by Anikó Nyéki

Since Specialization
Citations

This map shows the geographic impact of Anikó Nyéki's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Anikó Nyéki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anikó Nyéki more than expected).

Fields of papers citing papers by Anikó Nyéki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anikó Nyéki. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Anikó Nyéki. The network helps show where Anikó Nyéki may publish in the future.

Co-authorship network of co-authors of Anikó Nyéki

This figure shows the co-authorship network connecting the top 25 collaborators of Anikó Nyéki. A scholar is included among the top collaborators of Anikó Nyéki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anikó Nyéki. Anikó Nyéki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Nyéki, Anikó, et al.. (2025). Aerial Image-Based Crop Row Detection and Weed Pressure Mapping Method. Agronomy. 15(8). 1762–1762.
4.
Nyéki, Anikó, et al.. (2024). Weed detection in agricultural fields using machine vision. SHILAP Revista de lepidopterología. 125. 1004–1004. 2 indexed citations
5.
Neményi, Miklós, et al.. (2024). Soil Moisture Content Prediction in Loam Soil with RFR Model. 65(2). 43–56.
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Nyéki, Anikó, et al.. (2024). Weed Detection and Classification with Computer Vision Using a Limited Image Dataset. Applied Sciences. 14(11). 4839–4839. 11 indexed citations
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Neményi, Miklós, et al.. (2023). Applying IoT Sensors and Big Data to Improve Precision Crop Production: A Review. Agronomy. 13(10). 2603–2603. 70 indexed citations
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Nagy, János, et al.. (2022). Using the CERES-Maize Model to Simulate Crop Yield in a Long-Term Field Experiment in Hungary. Agronomy. 12(4). 785–785. 6 indexed citations
11.
Nyéki, Anikó & Miklós Neményi. (2022). Crop Yield Prediction in Precision Agriculture. Agronomy. 12(10). 2460–2460. 35 indexed citations
12.
Neményi, Miklós, Attila Kovács, Judit Oláh, et al.. (2022). Challenges of sustainable agricultural development with special regard to Internet of Things: Survey. 18(1). 95–114. 6 indexed citations
13.
Nyéki, Anikó, Bálint Daróczy, Csaba Kerepesi, Miklós Neményi, & Attila Kovács. (2022). Spatial Variability of Soil Properties and Its Effect on Maize Yields within Field—A Case Study in Hungary. Agronomy. 12(2). 395–395. 11 indexed citations
14.
Harsányi, Endre, Bashar Bashir, Muhammad Farhan Ul Moazzam, et al.. (2022). Predicting Modified Fournier Index by Using Artificial Neural Network in Central Europe. International Journal of Environmental Research and Public Health. 19(17). 10653–10653. 3 indexed citations
15.
Nyéki, Anikó, Csaba Kerepesi, Bálint Daróczy, et al.. (2021). Application of spatio-temporal data in site-specific maize yield prediction with machine learning methods. Precision Agriculture. 22(5). 1397–1415. 35 indexed citations
16.
Nyéki, Anikó, Attila Kovács, Miklós Neményi, & Gábor Milics. (2021). Conference report from 13th European Conference on Precision Agriculture (ECPA). Environmental Sciences Europe. 33(1). 3 indexed citations
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Nyéki, Anikó, et al.. (2020). Architecting farmer-centric internet of things for precision crop production. 71–78. 5 indexed citations
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Nyéki, Anikó, Csaba Kerepesi, Bálint Daróczy, et al.. (2019). Maize yield prediction based on artificial intelligence using spatio-temporal data. 1011–1017. 2 indexed citations
20.
Nyéki, Anikó, et al.. (2018). The energy balance of maize production – alternative approaches. Acta Agraria Debreceniensis. 59–63. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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